Inside Advanced Scale Challenges|Wednesday, December 12, 2018
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IBM, LogDNA Partner on Cloud Data Management Service 

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IBM and log data management startup LogDNA are collaborating on a new cloud service designed to help developers spot faults and debug code in data stored in the IBM cloud. Among the goals is reducing downtime and the resulting revenue loss.

The partners said Thursday (Nov. 29) the collaboration would combine IBM’s (NYSE: IBM) log analysis tool with LogDNA features such as alerts and natural language queries designed to allow developers to search and filter log data. The IBM tool allows developers to aggregate log data across applications running in the IBM cloud.

The log management service would allow IBM’s cloud customers to identify, debug and fix production issues associated with application workloads without sacrificing service availability, said Lee Liu, LogDNA’s co-founder and CTO.

Jason McGee, vice president and CTO of IBM Cloud Platform, said the partnership with LogDNA gives the public cloud vendor a new “cloud-native log analysis” capability that would support “increasingly complex cloud applications.”

LogDNA’s interface is designed to search through log data as a way to isolate performance issues within applications running in the cloud. That feature is being promoted as more enterprises shift to hybrid and multi-cloud deployments supporting dynamically scaling applications and workloads.

IBM noted in a blog post that its log analysis tool along with the LogDNA log manager can manage workloads from sources ranging from bare metal to virtual machine infrastructure. The tools also can be used along with IBM cloud’s Kubernetes cluster orchestrator service for application containers.

As retailers gear up for heavy online holiday shopping, the partners are pitching tools like visualizing logs as a way to reduce service outages or slowdowns. Similarly, they are stressing LogDNA’s user interface that allows data queries akin to queries on an internet search engine. Hence, they note, users needn’t learn a new query language to search log data. The partners also stressed data governance and security features. For example, the log data management services include encryption of data in transit and at rest. Meanwhile, searchable log data is stored locally in datacenters, they added.

 

About the author: George Leopold

George Leopold has written about science and technology for more than 30 years, focusing on electronics and aerospace technology. He previously served as executive editor of Electronic Engineering Times. Leopold is the author of "Calculated Risk: The Supersonic Life and Times of Gus Grissom" (Purdue University Press, 2016).

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